Pain Management

Editorial Commentary: Deteriorated Quality and Medial Retraction of Tendon Following Acute Traumatic Rotator Cuff Tear Are Predictors of Retear After Arthroscopic Repair.

Rotator cuff tears are a common cause of shoulder pain and dysfunction, affecting up to 33% of the p...

Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation.

BACKGROUND: Chronic musculoskeletal pain (CMP) impacts around 20% of people globally, resulting in p...

Development and Validation of Machine Learning Algorithms for Predicting Prolonged Postoperative Opioid Use in Spinal Metastatic Disease.

Introduction: Operative management of spinal metastatic disease is largely for symptom palliation an...

Research Focus Involving and Trends in Artificial Intelligence for Spinal Pain: A Bibliometric Analysis.

BACKGROUND: Spinal pain is a pervasive global health issue that poses significant challenges because...

DeepRNA-Twist: language-model-guided RNA torsion angle prediction with attention-inception network.

RNA torsion and pseudo-torsion angles are critical in determining the three-dimensional conformation...

Conversational Agents to Support Pain Management: A Scoping Review.

BACKGROUND: Pain-related conditions are the leading cause of years lived with disability globally. M...

A Machine Learning-Based Risk Assessment Model for Poor Postoperative Pain Outcome.

Postoperative pain is a relevant and unresolved problem in clinical practice. In order to reduce the...

RE: Exploring new educational approaches in neuropathic pain: assessing accuracy and consistency of AI responses from GPT-3.5 and GPT-4.

RE: Exploring new educational approaches in neuropathic pain: assessing accuracy and consistency of AI responses from GPT-3.5 and GPT-4.

Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain.

It is clear that artificial intelligence-based chatbots will be popular applications in the field of...

Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome.

BACKGROUND AND AIMS: The importance of risk stratification in patients with chest pain extends beyon...

Towards artificial intelligence application in pain medicine.

Pain is a complex, multidimensional experience involving significant challenges in both diagnosis an...

Developing and validating a prediction tool for cerebral amyloid angiopathy neuropathological severity.

INTRODUCTION: Cerebral amyloid angiopathy (CAA) is a cerebrovascular condition, the severity of whic...

A Multidimensional Regression Model for Predicting Recurrence in Chronic Low Back Pain.

BACKGROUND: Recurrence is common in chronic low back pain (CLBP). However, predicting the recurrence...

Non-Linear Dose-Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning Models.

The dose-response relationship between metformin and change in hemoglobin A1c (HbA1c) shows a maximu...

A machine learning approach to automate microinfarct and microhemorrhage screening in hematoxylin and eosin-stained human brain tissues.

Microinfarcts and microhemorrhages are characteristic lesions of cerebrovascular disease. Although m...

Leveraging artificial intelligence-mediated communication for cancer prevention and control and drug addiction: A systematic review.

OBJECTIVE: To conduct a systematic review on Artificial Intelligence-Mediated Communication (AIMC) b...

SA-UMamba: Spatial attention convolutional neural networks for medical image segmentation.

Medical image segmentation plays an important role in medical diagnosis and treatment. Most recent m...

Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues.

AIMS: This study was conducted to verify the effectiveness of using digital self-care devices in red...

Mapping research on ICT addiction: a comprehensive review of Internet, smartphone, social media, and gaming addictions.

INTRODUCTION: The use of information and communication technologies such as the Internet, smartphone...

DEFIF-Net: A lightweight dual-encoding feature interaction fusion network for medical image segmentation.

Medical image segmentation plays a crucial role in computer-aided diagnosis. By segmenting pathologi...